Danny Antaki is a Lead Bioinformatician with 10 years of experience applying machine learning and AI to next-generation sequencing, synthetic biology, and precision health. He has driven production ML at Twist Bioscience—improving gene scoring and leading the RNA library prep product—and now leads bioinformatics at Natera. Trained as a geneticist with a PhD from UC San Diego, his work spans algorithm development (including a machine-learning structural variation genotyper) and translational research in autism diagnostics. Comfortable at the intersection of research and product, he blends hands-on model deployment with domain expertise in NGS to move biomarkers from discovery into production-grade pipelines.
10 years of coding experience
4 years of employment as a software developer
University of California, San Diego
Bachelor's degree Biology/Biological Sciences General, Bachelor's degree Biology/Biological Sciences General at Purdue University
Contributions:43 commits, 48 pushes, 1 branch in 2 years 6 months
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